Predictive analytics is a statistical and data mining solution that consists of numerous algorithms and methodologies that are used for both structured as well as unstructured data to extract business insights. It offers flexible, scalable, and advanced solutions to help users make better informed business decisions. Predictive analytics software helps industries in understanding the customer perception by providing a competitive market edge and the ability to orchestrate business decisions rapidly.

COMPETITIVE LEADERSHIP MAPPING TERMINOLOGY

The predictive analytics software vendors are placed into 4 categories based on their performance and reviews in each criterion: “visionary leaders,” “innovators,” “dynamic differentiators,” and “emerging companies". Among all the Predictive Analytics Software vendors, the top 25 have been evaluated, including IBM SPSS Modeler, SAS Advanced Analytics, SAP Business Objects, Information Builders WebFocus, Knime AG, Agileone Cortex, Oracle Advanced Analytics, Angoss Knowledge Studio and Good Data.

VISIONARY LEADERS

Vendors who fall into this category receive high scores for most of the evaluation criteria. They have strong and established product portfolios and a very strong market presence. They provide mature and reputable data integration tools and also have strong business strategies. The visionary leaders in the predictive analytics software space include IBM SPSS Modeler, SAS Advanced Analytics, SAP Business Objects, FICO Decision Management Suite, Tableau Software, RapidMiner Studio, Oracle Advanced Analytics, and Angoss Knowledge Studio

INNOVATORS

Innovators in the MicroQuadrant are the vendors who have demonstrated substantial product innovations as compared to their competitors. They have very focused product portfolios. However, they do not have very strong growth strategies for their overall businesses. Information Builders WebFocus, Knime AG, Microstrategy, NTT Analytics Solution, Alteryx Predictive Analytics, Dataiku, and TIBCO Spotfire.

DYNAMIC DIFFERENTIATORS

Greenwave Axon Predict, Domino Data Lab, Teradata Analytics, Sisense, Microsoft Azure Machine Learning, and Good Data are recognized as dynamic differentiators in the predictive analytics software market. They are established vendors with very strong business strategies. However, they offer less products in the market. They focus on a specific type of technology related to the product.

EMERGING COMPANIES

AgileOne Cortex, Kognito, Exago, and Qlik View are recognized as the emerging players in the predictive analytics software market. The emerging players specialize in offering highly niche solutions and services. They do not have strong business strategies as compared to the established vendors.

 

Predictive Analytics Software Market Overview

The global predictive analytics software market is expected to grow from USD 4.57 billion in 2018 to reach USD 12.41 billion by 2022 at a CAGR of 22.1% during the forecast period. Major factors expected to drive the market include the data generated across various end-use industries, focus on competitive intelligence, and the use of analytics to determine future outcomes and customer requirements.

Most analytic platforms use data that is static or stored to analyze patterns that can affect business situations. Predictive analytics can, however, use current as well as historical data sets to extract meaningful information such as patterns in data, future outcomes and trends, anomalies, and changes in customer behavior. Predictive analytics allows businesses to combine historical data with customer insights to predict future events. When combined with AI and ML, predictive analytics software can provide many competitive business advantages.

The predictive analytics software market has been segmented into solution and service; solutions include risk analytics, financial analytics, marketing analytics, sales analytics, customer analytics, web and social media analytics, supply chain analytics, network analytics, and others (HR analytics and legal analytics), while services include managed services and professional services. Professional services are further categorized into consulting and support & maintenance. The risk analytics solutions segment is estimated to have the largest market size in the predictive analytics solutions market. The Asia Pacific predictive analytics software market is expected to see the highest growth during the forecast period. Improvements in technology due to the increase in technology investments and the growing retail and manufacturing sector are some of the major factors driving the growth of the market in the region. The BFSI, manufacturing, and telecommunications and IT industries are some of the largest in the APAC region. Global competition has necessitated higher productivity at lower costs, which manufacturers need to address to stay competitive in the market. Companies in Asia Pacific are striving to improve customer service to drive competitive differentiation and revenue growth, resulting in companies exploring hosted and cloud alternatives for premises-based systems. China, India, Singapore, Malaysia, and Australia are some of the countries favoring cloud adoption. What are the types of Predictive Analytics Software


Financial Analytics

Due to the intense competition in the market, accurate financial statements and reports obtained from financial analytics are not sufficient; companies need predictive insights to shape impactful business strategy and improve decision-making in real time. Financial analytics, when used in conjunction with predictive analytics, can help companies combine internal financial information and operational data with external information to address critical business questions quickly.


Risk Analytics

Risk analysis in an organization is mainly used to fight any risk exposure to the organization. Risk exposure can be either financial, operational, or a risk associated with the organization’s network efficiency. The use of advanced analytical frameworks helps organizations avoid, address, or recover from risk exposure quickly.


Marketing Analytics

Marketing analytics measures, manages, and analyzes marketing performance to optimize the return on investment by improving marketing campaigns. Marketing analytics consolidates data from all marketing channels into a common marketing view enabling insights into customer preferences and trends. This common view also helps companies extract results that can help improve the efficiency of marketing efforts.


Sales Analytics

Sales analytics helps build cross-selling and up-selling opportunities to existing clients along with analyzing pipeline opportunities, generating new business, analyzing customer spending trends, and maximizing value from CRM applications. When combined with predictive analytics, sales analytics can leverage insights from customer behavior to determine actionable targets. Sales analytics can also help identify, comprehend, model, track, and augment the sales performance of an organization with the help of predictive models. Sales analytics can also be used to track customer performance at every stage and assist in deal closures.


Customer Analytics

Customer analytics uses customer segmentation and predictive analytics to understand customer behavior and help in strategic decision-making. Customer analytics can help organizations identify customers for targeted marketing campaigns, helping them not only retain existing customers but also maximize customer lifecycle and improve customer loyalty.

Web and Social Media Analytics

Web and social media analytics is mainly used to analyze web and social media data to understand and optimize a customer’s web usage. Web and social media analytics can help in understanding the challenges and controversies resulting from marketing strategies. Digital marketers, advertisers, and publishers need to separate premium customers from regular customers, track & monitor website traffic, manage marketing & advertising campaigns, and improve the overall web and social media experience for all customers, which can be achieved through the insights provided by web and social media analysis.

Supply Chain Analytics

Supply chain analytics enables data-driven decisions at operational, strategic, and tactical levels, leading to higher operational efficiency and effectiveness. It helps build revenue growth, improve profit margins, and boost control points across the entire supply chain. Currently, an organization's supply chain generates petabytes of data, right from the procurement of raw materials to the distribution and logistics of refined goods. Supply chain analytics can extract meaningful insights from this data to help businesses improve efficiency and make strategic decisions.

Network Analytics

Network analytics helps analyze network data to identify IT issues before they impact the performance and efficiency of an organization. The increase in the adoption of IoT and the consequent increase in connected devices around the world are putting a strain on network infrastructure. Network analytics can monitor network data to preempt issues and thus optimize network performance. Thus, the adoption of network analytics is anticipated to rise in the near future.

What are the Steps Involved in the Predictive Analytics Process?

Predictive analytics helps organizations by predicting the outcomes and behavior of data collected, making them more proactive. The process of analyzing this data includes the following steps.Problem Identification: The process begins with the definition of the scope and identification of data sets that need to be used.

  • Data Preparation: The next step is the preparation of data sets for data mining. This enables a holistic view of customer interactions.
  • Data Exploration: This step focuses on the inspection and sanitizing of the data that has been collected.
  • Transformation and Selection: In this step, the data that has been sorted is transformed; it is then selected and processed for further analysis.
  • Model Building: The data that is refined is collected and used to create data models that enable the discovery of useful information.
  • Model Validation: On the completion of model building, its validation is carried out, based on business rules.
  • Model Deployment: This is the final step in the process. The model is deployed to enable daily decision-making and obtain the required outcome.
  • Result Monitoring: The deployed data models are monitored to evaluate their performance and ensure delivery of the expected outcomes.

Use Cases of Predictive Analytics Software

Presented below are case studies from some of best predictive analytics software and service offerings. These include scenarios where predictive analytics software and services (with their underlying benefits) were deployed to obtain comprehensive solutions.

USE CASE: Identify Suspicious Claim Cases

Project Objective: To help the company minimize losses caused by fraud

Description: Infinity Property & Casualty Corporation of Birmingham, Alabama, a national provider of car insurance, was witnessing revenue loss as a result of insurance fraud. This was causing it a loss of both, monetary value as well as reputation.

IBM Corporation’s Solution:   To tackle the instances of losses incurred by insurance fraud, the company opted for the IBM SPSS predictive analytics solution. This solution is capable of scrutinizing claim histories to identify and flag suspicious claims that can be investigated. It also helps fast-track legitimate claims. The use of this solution resulted in the company gaining a 400% ROI in 6 months. It also led to the addition of USD 1 million to its bottom line and reduced the time taken to refer a suspicious claim for further investigation by 95%.

Benefits Achieved:

  • 400% increase in ROI
  • Identification of suspicious claims for further investigation

USE CASE: Understand Buying Patterns

Project Objective: To observe the buying patterns of consumers to target promotions and increase salesDescription: Large retailers in India are investing in various methods to analyse the intent of customers, offer immediate responses to consumer expectations, predict future behavior, and enhance the shopping experience (both digital and physical). They are focusing on customer intelligence and predictive analytics, which are digital transformation tools that provide a personalized experience as well as meet in-store expectations of customers.

BRIDGEi2i Analytics’ Solution: The predictive analytics solutions of BRIDGEi2i’s assisted these retailers to obtain actionable insights on customer behavior and to devise approaches that are customer-centric in order to maximize retention. ExTrack, its proprietary platform was offered to track issues related to customer experience effectively. These were correlated to enhance business outcomes.

Benefits Achieved

  • Improved customer experience
  • 360° customer view
  • Identification of issues that require instant attention
  • Customer loyalty and personalized schemes

USE CASE: Increase Revenue and Decrease Business Inefficiencies

Project Objective: To enhance operational inefficiency, improve business processes, increase revenue, and reduce business inefficiencies

Description: FTI Consulting, Inc. required quick, easy-to-use, and actionable data analytics. The company needed operational improvements to eradicate inefficient processes.

TIBCO Software’s Solution: TIBCO Spotfire, its API library, and predictive modeling engine were used by FTI Consulting Health Solutions. The use of Spotfire resulted in an improvement in productivity for both, clients as well as consultants.Being easy-to-use for its service line experts, the time required for the operational improvements that were recommended was reduced. It also led to the company being able to accommodate more clients without increasing the number of consultants.

Benefits achieved:  

  • Increased productivity for clients and consultants
  • Improved and accelerated business operations
  • Increased efficiency 

USE CASE: Market Basket Analysis

Project Objective: To obtain insights into market baskets across products, categories, and stores

Description: Grupo Merza, which offers food & beverage distribution, transportation, and logistics services, in the retail as well as wholesale formats required augmentation of its analytical insights to enhance the efficiency of its inventory management, transportation, delivery, and crediting & invoicing functions.

SAP SE’s Solution: SAP HANA platform, SAP Lumira software, SAP Sales Insights for Retail analytics application,  and SAP Predictive Analysis software were used to understand customer needs, increase sales, and enhance customer engagement. The SAP Lumira software was installed within 4 weeks, without the involvement of a consulting service.Benefits achieved:      

  • Improved transactional data and reporting delivery
  • Quicker decisions with self-service data visualization
  • Insights into the contribution of product assortment and promotion to market baskets
  • Identification of defaulters on debts
  • Creation of scorecards to predict lender behavior

What do experts have to say about Predictive Analytics?

“Retailers are some of the early adopters of analytics and are now embracing the AI wave to improve customer experience and journey. Omnichannel touchpoint integration and automation will be one of the key focus for retailers; AI, machine learning, deep learning, and IoT analytics will enable that and transform retailers’ business in a data-driven way.”- C level executive Leading Predictive Analytics Software Provider

“Predictive analytics solutions are gaining traction due to the advent of dynamic technologies, as it has increased the pressure on organizations to sustain in the competitive environment. - Analyst Relations Leading Predictive Analytics Software Provider

“In a dynamic business environment, the growth of on-demand analytics is expected to increase substantially.” -Analyst Relations Leading Predictive Analytics Software Provider

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Predictive Analytics Software Quadrant

Comparing 169 vendors in Predictive Analytics Software across 206 criteria.

Find the best Predictive Analytics Software solution for your business, using ratings and reviews from buyers, analysts, vendors and industry experts

EVALUATION CRITERIA

Below criteria are most commonly used for comparing Predictive Analytics Software tools.
  • Product Quality and Reliability
    • Support for Custom Data Connectors
    • Custom Scripting Language
    • Deployment Type
      • Cloud
      • On-Premises
      • Hybrid (Deployment type)
    • Target Users
      • Database Administrators
      • Business Analysts
      • Data Scientists
      • Non Technical Users
      • Consultants
      • Application Developers
    • Support for Languages
      • Support for R
      • Java
      • Python
      • Scala
      • Lua
      • Ruby
      • Bash
      • Matlab
    • Delivery Mode
      • APIs
      • Separate Platform
      • As a Service / Connector Free
    • Add-on Funtionalities
      • Machine Learning / AI
      • Self-Service
      • Streaming / Real-Time
      • Mobile Support / Mobile BI
      • In-Memory
  • Product Features and Functionality
    • Integration with Big Data Frameworks / Data Stores
      • Hadoop
      • Kafka
      • Apache Spark
      • Steam
      • Hive
    • Enterprise Features
      • Analytics Workflow
      • Shared Data Sources
      • Server Side Data Processing
      • Cloud Hosted Data
      • Auto-scaling
    • Licensing
      • Licensing - Data Volume
    • Costs & Units
      • Cost - $ per license
      • Hybrid (Please specify)
    • Core Features
      • Visual Analytics Design / Code Free
      • Data Investigation
      • Statistical Modelling
      • Times Series Exploration
      • Root Cause Analysis
      • Advanced Condition Prediction
      • Predictive Grouping
      • No. of Third Party Data Providers
      • Natural Language Processing (NLP)
      • Event Detection
  • Breadth and Depth of Product Offering
    • Data Management
      • Data Preparation (Data Management)
      • Interactive Visualisation
      • Real Time Dashboarding
      • Static Visualisation
      • Report Generation
      • Data Blending
      • Report Automation
    • Data Collections
      • Customer Data
      • Transaction Data
      • Geo Spatial
      • Demographic
      • Location [Pincodes]
      • Firmographic
      • Marketing Data
    • Use Cases
      • Business Intelligence
      • Data Visualisation
      • Customer Response Modelling
      • Demand Forecasting
      • Data Preparation
      • Operations Management
      • Fraud Detection & Prevention
      • Pricing Elasticity Analysis
      • Location Intelligence
      • Risk Management
      • Customer Data Platform
      • Sales and Marketing Management
      • Network Management
      • Workforce Management
      • Supply Chain Management
      • Web and Social Media Management
      • Financial Management
      • Root Cause Analysis (Use case)
      • Predictive Maintenance and Asset Management
      • Event Detection (Use case)
    • Services Offered
      • Support and Maintenance
      • Custom Predictive Algorithms
      • Training
      • Implementation
      • Requirement Definition
      • Managed Services
      • Diagnostics
      • Report Authoring
      • Certification
      • Consulting

TOP VENDORS

  • 1

    SPSS Modeler reduces the complexities involved in the transformation of data by providing easy-to-use models. SPSS Modeler is extensively used across various languages to analyze data from multiple databases. It majorly helps in analyzing data to predict customer churn rates and data sets. The application can be used across various industry verticles.

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    • Enterprise
    • 1 to 50
  • 2

    Rapid Miner Studio enables users to create complex predictive models by using a drag and drop visual interface. It has a library of 1500+ machine learning algorithms and functions that can be used to build models specific to any situation. It also offers templates for common cases such as prediction of customer churn, fraud detection, predictive maintenance, etc. It provides proactive recommendations at each step for guidance. Rapidminerhelps increase productivity across teams.

    Read More
    • Startup
    • Massachusetts, US
    • Founded: 2006
    • Below $10 MN
    • 51 to 100
  • 3

    SAP Predictive Analytics enables users to create, deploy and maintain various predictive models. These on-premise tools can help users anticipate future behavior and outcomes and better guide the decision-making ability to help grow the business. SAP Analytics Cloud works alongside the BI and planning tools to visualize, plan and predict context. The tool uses in-memory technology and machine learning to uncover relevant predictive insights in real-time.

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    • Enterprise
    • Walldorf, Germany
    • Founded: 1972
    • More than $100 BN
    • 501 to 1,000
  • 4

    Oracle’s Database Platform allows the use of seamless predictive analytics within the platform, giving it an edge over other vendors. Oracle Advanced Analytics helps mine various data types, eradicate movement of data, and deliver actionable insights. Application developers deploy this analytics model along with SQL and R functions. It helps predict the behavior of customers, the gap between the demand and supply, and make better marketing strategies.

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    • Enterprise
    • California, USA
    • Founded: 1977
    • $10BN to $50BN
    • 1,00,001 to 5,00,000
  • 5

    Angoss uses data and predictive modeling to present insights that help users make better decisions faster. It uses advanced statistical algorithms for the prediction of outcomes. These outcomes are generated across all stages of model cycles. It helps improving predictive analytics for organizations looking to monetize their data.

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    • Startup
    • Ontario, Canada
    • Founded: 1984
    • Below $10 MN
    • 1 to 50
  • 6

    SAS Advanced Analytics provides users with better response time and faster insights provided by its in-memory analytics. SAS Advanced Analytics helps organize data in a structured manner, making it easy to understand and present. It enables the user to analyze past, present, and future models using quality-tested algorithms. Automation of large-scale forecasts is also possible without the need for high levels of technical knowledge.

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    • Enterprise
    • North Carolina, USA
    • Founded: 1976
    • $1BN to $5BN
    • 10,001 to 15,000
  • 7

    Use the full potential of information to unleash the capability of the human resources of an organization.

    • Enterprise
    • Washington, US
    • Founded: 2003
    • $500MN to $1BN
    • 1,001 to 5,000
  • 8

    Information Builders WebFocus RStat is a cost-effective, robust, intuitive, and accurate predictive analytics platform. WebFocus can help organizations by extracting meaningful insights from data of any kind. It creates interactive dashboards to consolidate information which increases the chances of actionable insights to be used in the everyday conduct of data-driven businesses.

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    • SME
    • New York, US
    • Founded: 1975
    • $101MN to $500MN
    • 1,001 to 5,000
  • 9

    FICO Decision Management Suite is an integrated environment for development that is compatible with web as well as mobile applications. It is a platform that handles real-time streaming of data including its visualization, indexing, search, and pre-processing, based on rules that are defined in advance. The company's USP is the ability to provide models based on precise customer requirement to reduce time and cost.

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    • Enterprise
    • California, US
    • Founded: 1956
    • $500MN to $1BN
    • 1,001 to 5,000
  • 10

    Alteryx provides information science that can viably and productively tap into a code-free and code-accommodating easy-to-use application. The software requires no coding, however, it is coding friendly for those interested. It has a fantastic interface without code for both analytics modelling and advanced modelling with code. It enables easy deployment and management of analytic models, flexibility, agility, and high speed. It supports visualization tools and all data sources. Alteryx helps find, manage, and understand all sort of analytic information of an organization at a high speed, thereby making better decisions and increasing productivity.

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    • SME
    • California, US
    • Founded: 1997
    • $101MN to $500MN
    • 101 to 500
  • 11

    MicroStrategy’s features and algorithms provide enterprises with advanced predictive analytics capabilities. MicroStrategy is useful for deploying models with governed data. It integrates seamlessly with R and can be connected to any source with the use of APIs. Some of its important features include: Scalable integration with R, incorporation of statistics, ARIMA, etc. and minimal IT support required

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    • Enterprise
    • Virginia, US
    • Founded: 1989
    • 501 to 1,000
  • 12

    Rapid assembling of predictive data that changes crude information into a business affecting service. This product has advantages for all types of users: analytics leaders, data scientists, IT professionals, and business analysts. It helps analytics leaders in terms of managing productivity, collaboration, coordination, and measuring team growth. Data scientists benefit in terms of automation, modelling, flexibility, and reproducibility. IT professionals gain advantages pertaining to scalability, code & integration, operationalization, and data governance; while business analysts obtain data access, preparation, exploration, and automated ML benefits.

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    • Startup
    • New York, US
    • Founded: 2013
    • $11MN to $50MN
    • 101 to 500
  • 13

    GoodData is a cloud-based platform with high SLA availability and maintenance. It allows for easy incorporation of already existing data warehouses. It allows the platform to be integrated into web or mobile applications. It is one of the most dominant cloud data warehouse that meets most versatile analytics platform requirements.

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    • Startup
    • California, US
    • Founded: 2007
    • Below $10 MN
    • 51 to 100
  • 14

    Extensive set of cloud services that enables associations to address business problems, construct, oversee, and convey applications on a massive, worldwide system utilizing various tools and frameworks. Microsoft Azure ML Studio can be used to prepare and manage the data they need for machine learning. It can improve productivity through its powerful capabilities that can integrate the current model cycle with that of the app lifecycle.

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    • Enterprise
    • Washington, USA
    • Founded: 1975
    • More than $100 BN
    • 1,00,001 to 5,00,000
  • 15

    Natural language search and AI-powered bits of knowledge discovery make creating bits of knowledge a characteristic, instinctive, and intuitive experience. Spotfire has strong built-in predictive analytical methods that are smart, yet easy to use. Its intelligent data wrangling helps you clean and modify data, and auto-records it so you can edit it later as well. It is flexible and can scale secured documents as well.

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    • Enterprise
    • 1,001 to 5,000
  • 16

    AXON Predict permits OEMs and enterprises to catch, screen, and break down information. AXON Predict is a product suitable for OEMs as well as large enterprises since it collates, scrutinizes, and analyzes data across networks and provide valuable visual analytical insights to users. This gives users real-time analytics to work with in order to enhance innovation and reduce costs.

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    • Startup
    • California, US
    • Founded: 2008
    • 101 to 500
  • 17

    NTT Data offers effective solutions that supplement the decision-making process in an organization. This is possible across multiple business platforms and across different development and deployment capabilities. With the help of a comprehensive analytics and business insight methodology, NTT Analytics Solutions can change a client organization into an information-driven pioneer.

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    • Enterprise
    • 1,00,001 to 5,00,000
  • 18

    Teradata analytics provides “Flip the Switch” analytics which allows on-the-fly switching of best campaign users from reverse modeling to forward prediction. Teradata Analytics for Enterprise Applications eradicates the complexity of enterprise application integration, delivers real-time access to integrated data from ERP and other enterprise applications, as well as provides transparency and visibility into business and customer insights.

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    • Enterprise
    • California, US
    • Founded: 1979
    • $1BN to $5BN
    • 10,001 to 15,000
  • 19

    Qlik helps enterprises around the globe move quicker, work smarter, and provide a start-to-finish answer to get an incentive out of information. QlikView helps users compare different sets of data from multiple sources and locations to deliver the most value. Its main features include, interactive participation in session-sharing is possible across different groups which enables users to share their insights formally or informally. It is also possible to access and load data from different locations and from different deployment modes – cloud, on-premise, or big data sources.

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    • Enterprise
    • Pennsylvania, US
    • Founded: 1993
    • $1BN to $5BN
    • 1,001 to 5,000
  • 20

    Kognitio empowers data analysts and business clients to run a large number of complex questions simultaneously, providing a competitive edge to large-volume business data activities. Kognitio is an immensely flexible platform that has the strong feature of viewing images and executing complex manipulations on images using standard SQL queries. It can be deployed on both, an existing framework clusters or on a complete standalone one, on-premises or on cloud.

    Read More
    • Startup
    • Bracknell Forest, UK
    • Founded: 1987
    • Below $10 MN
    • 51 to 100
  • 21

    KNIME is an open source software and it helps create data science applications and services. Being open, intuitive, and able to integrate new developments, this platform makes reusable components accessible to all the users and helps understand data science workflows. The software provides actual data analysis as well as a number of processes and has productivity funtions to help operations.

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    • Startup
    • Zurich, Switzerland
    • Founded: 2008
    • Below $10 MN
    • 1 to 50
  • 22

    Sisense makes the analytics process easy for users right from the preparation of data to the creation of insights. Sisense is an intelligence software known for its agility and easy implementation. It can be used by varied companies. This platform offers a range of business analytics features. It is designed to make complex data preparation and visualizations simple to make better business decisions and intelligent strategies.

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    • Startup
    • New York, US
    • Founded: 2004
    • Below $10 MN
    • 501 to 1,000
  • 23

    Domino delivers predictive models using ML and AI techniques capturing all the dependencies of experiments. It is perfect for models across cloud databases as well as distributed systems. Powering model-driven organizations to rapidly create and convey models that drive business impact.

    Read More
    • Startup
    • California, US
    • Founded: 2013
    • Below $10 MN
    • 101 to 500
  • 24

    Cloud-based Predictive Intelligence is used to generate insights into the behavior of customers and provides recommendations based on these insights to enhance revenue generation. Delivers reliable and customized experiences over each interaction point through a flexible, adaptable, and versatile stage that addresses enterprise needs.

    Read More
    • Startup
    • California, US
    • Founded: 2005
    • $11MN to $50MN
    • 51 to 100
  • 25

    Lytics enables organizations to customize commitment with clients through its advanced Customer Data Platform (CDP) and enables organizations to arrange more relevant showcasing. This platform is easy to use and learn for it allows easy integration with various database and tools. It provides services to all the customers and helps companies arrange relevant marketing through Customer Data Platform. It also helps clients understand the audience behaviour with its website.

    Read More
    • Startup
    • Oregon, US
    • Founded: 2012
    • Below $10 MN
    • 101 to 500
  • 26

    Civis Analytics adopts science-first strategy to take care of business issues utilizing person-level data. This platform is cloud-based and is designed for data scientists and decision makers to help clients find loyal customers. This platform combines machine learning and statistical models to not just help clients help retain existing customers but also gain new ones. It also helps clients optimize the ratio of expenditure-return by preparing a budget for marketing campaigns.

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    • Startup
    • Illinois, US
    • Founded: 2013
    • Below $10 MN
    • 101 to 500
  • 27

    Cutting edge projects delivered within deadlines. This software is majorly used by marketing and sales teams. It combines machine learning and artificial intelligence and empowering both, sellers and buyers. It is used to create and implement marketing campaigns and is compatible with most platforms. This software also helps users discover new sources of income.

    Read More
    • Startup
    • California, US
    • Founded: 2013
    • Below $10 MN
    • 101 to 500
  • 28

    The platform is designed for B2B enterprise revenue teams, built specifically for the needs of marketing and sales teams. It is built for for revenue-driven marketers. It offers self-service AI, real-time business graph solutions, and over 50 billion dynamic signals, this platform can help you resolve a number of marketing and business intelligence concerns.

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    • Startup
    • California, US
    • Founded: 2012
    • $11MN to $50MN
    • 501 to 1,000
  • 29

    Harnessing advanced artificial intelligence/machine learning to deliver better experiences and enhance business execution at scale. Opera Solutions offers AI solutions is supported by a team of data scientists that are scalable, practical, and transformative. This solution serves various industries such as financial, hospitality, healthcare, travel, retail, and telecommunications. In addition, problems related with scaling Big Data analytics gets solved by the AI/ML platform provided by the company.

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    • Enterprise
    • New Jersey, US
    • Founded: 2004
  • 30

    It democratize customer insights which enables companies to have the pulse of their customers and marketers run effective and profitable campaigns. It is uses networks to analyse customers so that analysis can be used by management and marketing department and data scientists can generate more revenue.

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    • Enterprise
    • London, England, UK
    • Founded: 2014
    • 1 to 50
  • 31

    Figure Eight is a platform that uses both machine and human intelligence to transform data available in varied forms into a customized one for a number of use cases such as intelligent chatbots, autonomous vehicles, natural language processing, consumer product identification, and others.USP of this platform is Human-in-the-Loop Machine Learning stage changes unstructured content, picture, sound, and video information into customized high-quality data.

    Read More
    • SME
    • California, US
    • Founded: 2007
    • $51MN to $100MN
    • 101 to 500
  • 32

    Tapcart is a SaaS platform which helps online store owners to create customized mobile shopping apps. Tapcart customs with 7 technology products and services which includes Google Analytics, WordPress, and Amazon EC2. Tapcart is keenly using 52 technologies for its website that includes Viewport Meta, IPhone / Mobile Compatible, and SPF.

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    • Enterprise
    • 501 to 1,000
  • 33

    SwiftERM analyses each individual consumer's buying pattern, by applying an algorithm to historic purchase-data and live impressions to predict the products likely to be an imminent purchase. This system helps many retailers who are interested in running a totally automated email marketing facility that doesn’t​ require any human interface.

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    • Enterprise
    • 501 to 1,000
  • 34

    Konux provides unique predictive insights by integrating smart sensor system and AI based analytics which helps to deliver information in real time and thereby enhancing data quality and reducing costs. With the help of artificial intelligence, Konux enables its clients to continuously monitor their infrastructure and enhance their operations.

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    • Enterprise
    • Bayern, Germany
    • Founded: 2014
    • 1 to 50
  • 35

    720° is a cloud-based analytics solution for monitoring environmental indoor's. The company's solution automatically detects several issues such as low relative humidity, material emission, recurring odors, temperature fluctuations, high occupancy, and noise pollution among others

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    • Enterprise
    • Helsinki, Finland
    • Founded: 2012
  • 36

    ACTO provides cloud solution for life sciences. It aims to increase the market share by provinding an app that brings together all sales and marketing efforts. ACTO is the only platform for life sciences companies to not just sell their products but also come up with patient-centred technologies to enhance healthcare services. These companies bring field intelligence into a single dashboard and gets together field sales and marketing tools in a single app.

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    • Enterprise
    • Ontario, Canada
    • Founded: 2014
    • 1 to 50
  • 37

    Acuity3D uses an analytical and statistical modeling engine along with a smart network navigation system to set into action manager-defined tasks. These tasks are prioritized by AI conversion probability models.

    • Enterprise
    • Massachusetts, US
    • Founded: 2012
    • 1 to 50
  • 38

    Adtype combines artificial intelligence and data mining to analyse the success rate of marketing effors on different customer types. Adtype is one of the best products for it is lightweight and has a multi-layered dashboard interface. It helps businesses grow at an unparalleled rate with the combination of technologies and methodologies used by the company.

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    • Enterprise
    • London, UK
    • Founded: 2012
    • 101 to 500
  • 39

    AdvancedMiner is a tool that allows advanced users to develop new scripts and node types in predictive models by breaking down complex processes into simple ones. Various functionalities can be introduced by integrating models with external applications.

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    • Enterprise
    • Mazowieckie, Poland
    • Founded: 2014
    • 1 to 50
  • 40

    Aera delivers cognitive intelligence based on artificial intelligence, data & domain enterprise expertise, and natural language processing. It does this in real time and on the cloud, which means it is available 24/7.

    • Enterprise
    • California, US
    • Founded: 1999
    • 51 to 100
  • 41

    Aervio caters to travelling sector. It is an artificial intelligence enabled platform that provides all smart tools for travel management and connects all stages in travel. Aervio is a new platform for business travel. This platform involves integration of new generation services and artificial intelligence to provide spontaneous and structured travel management system. It provides customization enabling connectivity in all aspects of travel.

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    • Enterprise
    • Barcelona, Spain
    • Founded: 2016
    • 501 to 1,000
  • 42

    This AI platform, through behavior patterns of humans, identifies the best possible match for individuals. These matches are made to enhance customer experience and increase profitability.

    • Enterprise
    • Washington, District of Columbia, US
    • Founded: 2006
    • 501 to 1,000
  • 43

    Neustar, Inc. is one of the leading providers of real-time information and analysis to various sectors. It offers a service known as Aggregate Knowledge which combines customer’s data and media in a single platform, wherein the highest performing customers can be reached by advertisers and agencies. Aggregate Knowledge that provides businesses and marketers with insights on which platform to use for targeting the customers

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    • Enterprise
    • California, US
    • Founded: 2013
  • 44

    Ansaro leverages machine learning to find the best-fit employees for jobs. It aims to cut down the bias in recruitment and get the top performers in the organization. The platform involves predictive algorithms for decision auditing and record-keeping that support EEO and OFCCP compliance.

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    • Enterprise
    • California, US
    • Founded: 2017
    • 1 to 50
  • 45

    Apama Streaming Analytics helps enterprises gain insights from large volumes of data by combining various processes. It can analyze streaming data and can gather information and detect patterns from multiple sources. It helps in enhancing critical processes with actions that are derived through automated statistics combining visual and streaming analytics and enhancing speed and also the quality of business decisions.

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    • Enterprise
    • Hessen, Germany
    • Founded: 1969
    • 1,001 to 5,000
  • 46

    Apigee Insights provides GRASP-powered big data predictive analytics that increases marketing effectiveness and customer satisfaction with API-driven adaptive apps that anticipate, learn, and adapt to deliver contextual, individualized interactions. This helps in enhancing marketing effectiveness and customer satisfaction through predictive analytics.

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    • Enterprise
    • California, US
    • Founded: 2004
    • 101 to 500
  • 47

    Artudata promises to increase the revenue by targeting the most likely to convert customers. It empowers sales team to identify genuine realizable leads and uses analytics to increase the conversion rate

    • Enterprise
    • London, England, UK
    • Founded: 2017
    • 1 to 50
  • 48

    Atrenta's SpyGlass Predictive Analyzer uses patented solutions to provide early design insight into the demanding performance, power and area requirements of the complex system on chips (SoCs) fueling today's consumer electronics revolution.

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    • Enterprise
    • California, US
    • Founded: 2013
    • 101 to 500
  • 49

    Aviso is an artificial intelligence-based sales management tool that helps the sales team close the deal faster and improve pipeline management. Aviso is an AI-driven with results in better revenue outcomes than simply relying on human judgment alone or raw data scattered across CRM, customer success tools, data lakes, and other customer data repositories

    Read More
    • Enterprise
    • California, US
    • Founded: 2012
    • 51 to 100
  • 50

    The AXON Platform offers OEMs and enterprises real-time visual analytics that allows them to obtain, analyze, and make decisions on real-condition performance data.OEMs and enterprises using the AXON Platform for Analytics can capture, monitor, and analyze data, empowering end-users and manufacturers with real-time insights.

    Read More
    • Enterprise
    • Georgia, US
    • Founded: 2005
    • 101 to 500

TOP REVIEWS

Looking for Predictive Analytics Software? Get help
Other,Company Name Classified
Other, Company Name Classified
#2 in Predictive Analytics Software 6 Reviews

“Navigate through Journey of Hypotheses"

(*)(*)(*)(*)(*)5
Granted, companies are looking for vertical solutions aiming directly at their specific applications while RapidMiner, albeit powerful, is a platform. In addition to current communication by RapidMiner and the enthusiastic community, efforts must be spent by both sides, the customers and the solution providers like us, to practice, solve problems, and build up confidence so that gaps can be bridged.
General Manager,Company Name Classified
General Manager, Company Name Classified
#1 in Predictive Analytics Software 7 Reviews

“Decision making made easier with this data analysis program."

(*)(*)(*)(*)(*)5

The software’s ability to organize and use variable for tool application is what works best for me.  Evaluation of the behavior of dependent and independent variables for linear regression analysis makes it easy to compile reports, further enabling easier decision making. It is also extremely user-friendly, with each icon distinctly visible. If I had to pick an area of improvement, I would say it is the quality of its graphics. They do not seem very professional and perhaps they can be updated to seem so.

I believe that this is an ideal software for organizations lookimg to systemize its data and work using dependent as well as independent variables. It works excellently to present inferential statistics to help organizations grow. However, if you’re looking for exceptional graphics, then this might not be the one for you.

Business Analyst,Company Name Classified
Business Analyst, Company Name Classified
#1 in Predictive Analytics Software 7 Reviews

“A great way to professionally build and manage databases"

(*)(*)(*)(*)(*)5
One of the most revolutionary software, especially in my field, where I need to use multiple statistical variables to analyze databases of chemical elements. It is flexible as well, so I can convert databases of other software into the IBM SPSS format and they work better! For me, the best feature is its ability to filter and modify variables as per what I need. It is extremely versatile and perfect for my daily work requirements. Since it is quite a complicated software, it can get a bit tedious to understand all its functionalities, which may require a certain level of computer science knowledge. I had to take up an intensive course to understand it completely. This is possibly the best software for management and analysis of databases. It is extremely effective in creating variables and I dare say any company that uses it is bound to see a noticeable enhancement in employee performance.
Other,Company Name Classified
Other, Company Name Classified
#11 in Predictive Analytics Software 7 Reviews

“Efficient and Dependable"

(*)(*)(*)(*)(*)5

This is a highly dependable software that also has some great features. Some of these features include

  • Easy access to data.
  • Presents data in the required format, after using various metrics.
  • Creates good dashboards.
The only drawbacks I could find were that the time taken to set up is high and it could do with a better user interface
General Manager,Company Name Classified
General Manager, Company Name Classified
#9 in Predictive Analytics Software 6 Reviews

“One of the best software in the market"

(*)(*)(*)(*)(*)5
The best thing I like about this program is that it is so natural to utilize and is highly valuable. It takes a lot of information and can figure future results with these determined dangers, in this way making potential future achievement.
Vice President,Company Name Classified
Vice President, Company Name Classified
#7 in Predictive Analytics Software

“World class visualization"

(*)(*)(*)(*)(*)5
I love the data visualization and the capacity to parse enormous datasets in this software, its just world class. Tableau is extraordinary for delivering group dashboards that can be utilized for strategic execution on tasks.
Global Head - Service and Product Development,Company Name Classified
Global Head - Service and Product Development, Company Name Classified
#3 in Predictive Analytics Software 6 Reviews

“Worth the price"

(*)(*)(*)(*)(*)5
This software has a good visual interface. Connectivity with different database seems good, so far. I have not tried the integration part, but there should not be any problem about that as well. Overall it seems like a good investment for organization predictive analytics need.
Vice President,Company Name Classified
Vice President, Company Name Classified
#2 in Predictive Analytics Software 6 Reviews

“Need customization"

(*)(*)(*)(*)( )4
It would be good if the educational version could be extended to students and teachers and be able to perform data mining in a work team, such as in a course, or in a postgraduate or doctorate subject, with better storage options in the cloud.
Other,Company Name Classified
Other, Company Name Classified
#3 in Predictive Analytics Software 6 Reviews

“Data Science Capabilities Without The Investment In Data Scientists"

(*)(*)(*)(*)(*)5
SAP is the only vendor that I work with that is truly partnering with me year-round. We discuss use cases and how to best leverage the SAP product to address these use cases. The ease of use. Little data preparation is required. My team are subject-matter experts in sales data. The ability to quickly (same day) turn around a model and assess the viability of the model is unmatched by any other tools and has positioned my team of non-data-scientists as data science thought leaders! The visualizations have not kept up with the industry. While the output is very understandable, we still download the output to excel or Tableau. Our understanding is that SAP Analytics Cloud will be the platform we will need to eventually migrate to, and its visualization capabilities are excellent. My team was not involved directly with the purchase. Sales operations volunteered to participate in the evaluation and we gave IT a solid I like it for the following: • Drive innovation • Enhance decision making • Drive revenue growth • Create internal/operational efficiencies I like it since it provides direct access to specialists and engineers. At SAP Sapphire customer show, we have always been able to meet with the product development leadership and provide input into product direction as well as understand the roadmap.
General Manager,Company Name Classified
General Manager, Company Name Classified
#2 in Predictive Analytics Software 6 Reviews

“Good Graphics"

(*)(*)(*)(*)( )4
Comfortable, intuitive working environment, with help during the development of the process. Good graphics, and options to visualize the result of the process
Other,Company Name Classified
Other, Company Name Classified
#21 in Predictive Analytics Software 6 Reviews

“Very easy, very accurate"

(*)(*)(*)(*)( )4
KNIME isn’t a big firm but its number of contributors drive the platform forward with image processing and bioinformatics capabilities. The analytics platform provided by the company is easy to use and download. There are more than 1,000 analytical and model building operators. The vendor offers KNIME Server for sharing workflows and remote execution of model building workflows and advanced security.
Business Analyst,Company Name Classified
Business Analyst, Company Name Classified
#9 in Predictive Analytics Software 6 Reviews

“Easy to interpret data"

(*)(*)(*)(*)( )4
The best thing about this application is that it is so natural to work with. You simply include the information; somewhat enchantment occurs and bam! you have precisely what you were searching for.
Vice President,Company Name Classified
Vice President, Company Name Classified
#14 in Predictive Analytics Software 6 Reviews

“Good Product with Some Bad Tooling Options"

(*)(*)(*)( )( )3
Competent enough software, but not easy to use. I also came across some issues in AI tooling. Though Microsoft seems to be putting in enough work in the platform, I feel that it is overlooking basic deployment and infrastructure issues. I would, however, buy this product for the following features: • Better customer data analysis for relation building • Faster Decision Making • Innovation
Other,Company Name Classified
Other, Company Name Classified
#14 in Predictive Analytics Software 6 Reviews

“Azure’s Big Data and Interactive Dashboards Truly Excel"

(*)(*)(*)(*)(*)5
Microsoft’s AZURE provides big data and interactive dashboards along with best-in-class visualization and deep dive reports. It is also very efficient allowing us to investigate data much faster compared to our older software, which has enhanced productivity.  The wide range of data options has given us the flexibility to serve our diversified customer base more efficiently. It’s cloud-based environment provides more agility with less time taken for setup and installation.
Internal Analyst,MnM
Internal Analyst, MnM
#29 in Predictive Analytics Software

“Easy and rapid extraction of insights"

(*)(*)(*)(*)( )4
Signal Hub is an end-to-end big data analytics platform for large enterprises. It enables rapid extraction of insights and intelligence from large volumes of data, including different types and formats of data. Signal Hub delivers unmatched value to data scientists and analytics professionals by shortening the analytics development time and promoting the understanding and reusability of existing analytic components, thereby allowing organizations to more effectively meet the growing demand for useful big data insights across all business functions and employee levels.
Project Manager,Company Name Classified
Project Manager, Company Name Classified
#18 in Predictive Analytics Software

“Capable Software with Good Visual Appeal"

(*)(*)(*)(*)(*)5
Teradata analytics has a good interface offering a better visual appeal that is easy to understand. It provides good scalability in terms of applications and is compatible with SQL and Python. The only downside is the documentation needed to gain expertise in performing various complex tasks.
Internal Analyst,MnM
Internal Analyst, MnM
#18 in Predictive Analytics Software

“Good analytic data platforms"

(*)(*)(*)(*)(*)5
Teradata Corporation is a provider of analytic data platforms, applications, and services, and delivers embedded Predictive Analytics that helps marketers to easily apply forward-looking models to data-driven marketing efforts. It also offers features such as, Use model scores as selection criteria for campaigns and select/manage, which models are being used to score customers for campaigns.
Other,Company Name Classified
Other, Company Name Classified
#24 in Predictive Analytics Software

“Poor Software with Basic Functionality"

(*)(*)(*)( )( )3

The software does not provide any templates that can make work easier. Even email or best practice templates could help.

Other,Company Name Classified
Other, Company Name Classified
#14 in Predictive Analytics Software 6 Reviews

“Cloud based predictive Analytics"

(*)(*)(*)(*)( )4
Microsoft offers a cloud solution for predictive analytics which is known as Microsoft Azure ML. This solution is a combination of Azure ML and Cortana Intelligence Suite capabilities. It is a user-friendly platform as it can connect to number of database and enables users to investigate and visualize data with better understanding, speed, and productivity. It offers Big Data solutions with intuitive reports, compelling visualizations, and interactive dashboards. It enables a user to create, schedule, and orchestrate ETL/ELT (Extract, Load, and Transform) workflows through the hybrid data integration service.
Business Analyst,Company Name Classified
Business Analyst, Company Name Classified
#27 in Predictive Analytics Software

“Great Product"

(*)(*)(*)(*)(*)5

The product team met with us at the time of installation which helped the entire process move smoothly. Even after installation the team continued to provide exceptional service. Product met all expectations with only minor issues. Which is a good thing considering they have horrible documentation. It’s all over the place and can do with a major overhaul. The stellar support not only makes up for the lack of documentation, but also makes this a product to recommend.